Pathogen-Specific Local Immune Fingerprints Diagnose Bacterial Infection in Peritoneal Dialysis Patients

免疫系统 免疫学 腹膜透析 腹膜炎 病菌 生物 医学 内科学
作者
Chan‐Yu Lin,Gareth Roberts,Matt Morgan,Kieron Donovan,Nicholas Topley,Matthias Eberl
出处
期刊:Journal of The American Society of Nephrology 卷期号:24 (12): 2002-2009 被引量:57
标识
DOI:10.1681/asn.2013040332
摘要

Accurate and timely diagnosis of bacterial infection is crucial for effective and targeted treatment, yet routine microbiological identification is inefficient and often delayed to an extent that makes it clinically unhelpful. The immune system is capable of a rapid, sensitive and specific detection of a broad spectrum of microbes, which has been optimized over millions of years of evolution. A patient's early immune response is therefore likely to provide far better insight into the true nature and severity of microbial infections than conventional tests. To assess the diagnostic potential of pathogen-specific immune responses, we characterized the local responses of 52 adult patients during episodes of acute peritoneal dialysis (PD)–associated peritonitis by multicolor flow cytometry and multiplex ELISA, and defined the immunologic signatures in relation to standard microbiological culture results and to clinical outcomes. We provide evidence that unique local “immune fingerprints” characteristic of individual organisms are evident in PD patients on the day of presentation with acute peritonitis and discriminate between culture-negative, Gram-positive, and Gram-negative episodes of infection. Those humoral and cellular parameters with the most promise for defining disease-specific immune fingerprints include the local levels of IL-1β, IL-10, IL-22, TNF-α, and CXCL10, as well as the frequency of local γδ T cells and the relative proportion of neutrophils and monocytes/macrophages among total peritoneal cells. Our data provide proof of concept for the feasibility of using immune fingerprints to inform the design of point-of-care tests that will allow rapid and accurate infection identification and facilitate targeted antibiotic prescription and improved patient management.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
善良烨霖发布了新的文献求助10
刚刚
Nano-Su发布了新的文献求助10
刚刚
抹茶小饼干完成签到,获得积分10
刚刚
1秒前
1秒前
NexusExplorer应助苹果紊采纳,获得10
1秒前
2秒前
李健的粉丝团团长应助tgh采纳,获得10
2秒前
科研通AI6.3应助Hiy采纳,获得10
2秒前
听风完成签到,获得积分10
2秒前
善学以致用应助明理楷瑞采纳,获得10
2秒前
2秒前
2秒前
谢大喵应助long采纳,获得10
2秒前
xiyue发布了新的文献求助10
2秒前
任性黎昕发布了新的文献求助10
2秒前
北枳发布了新的文献求助10
3秒前
3秒前
WTL完成签到,获得积分10
3秒前
4秒前
dayong发布了新的文献求助10
4秒前
dark完成签到,获得积分10
4秒前
蓝天发布了新的文献求助10
4秒前
热情凝云应助Eason采纳,获得10
4秒前
鳗鱼文涛发布了新的文献求助10
4秒前
热情凝云应助Eason采纳,获得10
4秒前
4秒前
ounceee发布了新的文献求助10
5秒前
5秒前
5秒前
时尚蜻蜓完成签到,获得积分10
5秒前
小蘑菇应助小何123采纳,获得10
6秒前
魔幻冬寒完成签到 ,获得积分10
6秒前
李爱国应助EAZE采纳,获得10
6秒前
科研通AI6.1应助Alex采纳,获得10
6秒前
醒不来的猫完成签到,获得积分10
6秒前
6秒前
1111111发布了新的文献求助10
6秒前
Ragumong发布了新的文献求助10
6秒前
完美世界应助司马飞飞采纳,获得10
7秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 2000
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Contemporary Debates in Epistemology (3rd Edition) 1000
International Arbitration Law and Practice 1000
文献PREDICTION EQUATIONS FOR SHIPS' TURNING CIRCLES或期刊Transactions of the North East Coast Institution of Engineers and Shipbuilders第95卷 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6154801
求助须知:如何正确求助?哪些是违规求助? 7983315
关于积分的说明 16587783
捐赠科研通 5265241
什么是DOI,文献DOI怎么找? 2809589
邀请新用户注册赠送积分活动 1789790
关于科研通互助平台的介绍 1657447